Contributions to the following blog were made by former CCC Chair Gregory Hager and CCC Director Ann Drobnis.  We all know there is a lot of data out there, and the amount of data is growing rapidly – 2500 petabyes a day by some estimates. For data-driven fields such as Artificial Intelligence (AI), the availability of massive amounts of data and vast advances in computing power have now brought us to a unique and exciting phase where the availability of data is a major factor shaping the evolution of AI research. The Information Technology & Innovation Foundation (ITIF) recently released report called 10 Steps Congress Can Take to Accelerate Data […]

CCC Chair Beth Mynatt contributed to this post.  The Computing Community Consortium (CCC) in collaboration with the Electrical and Computer Engineering Department Heads Association (ECEDHA) recently released eight white papers describing a collective research agenda for intelligent infrastructure. These papers draw from a large network of expertise including CCC Council members, former CCC Council members, CRA Board members, and other members of the academic and industry communities for a total of 40 different authors from 27 different institutions. We will be blogging about each paper over the next few weeks. Today, we start with the overview paper: A National Research Agenda for Intelligent Infrastructure. Our infrastructure touches the day-to-day life […]

Rastislav Bodik (University of Washington) and Shriram Krishnamurthi (Brown University) have announced an exciting, new opportunity for junior researchers – either young faculty or older graduate students – to apply to attend and speak at the Summit on Advances in Programming Languages (SNAPL) 2017. SNAPL is a biennial conference for discussions on innovation in programming languages, from foundations to applications and across industry and academia. SNAPL seeks paper submissions from researchers and practitioners on programming language topics that will generate a good discussion amongst attendees. Bodik and Krishnamurthi plan to bring in less established researchers to generate discussions from different perspectives and provide an opportunity for junior researchers to share their […]

Contributions to this post were made by CCC Chair Beth Mynatt and CCC Director Ann Drobnis. The President’s Council of Advisors on Science and Technology (PCAST) is an advisory group of the nation’s leading scientists and engineers, dating back to the Eisenhower Administration, who advise the President on science, technology, and innovation. This Administration’s PCAST is one of the most distinguished and diverse in history. Former Computing Community Consortium (CCC) Chair, Susan L. Graham from the University of California, Berkeley, is one of the current 19 members who give recommendations to the President. Over the past eight years, this PCAST has accomplished a number of remarkable activities. The CCC as […]

As a result of the CCC / CRA Industry Academic Survey, conducted in spring of 2015 and the CCC Industry Roundtable Discussion held on July 24, 2015, the CCC partnered with the four NSF-sponsored Big Data Regional Innovation Hubs (BD Hubs) for a program on industry-academic collaboration. Each Hub is charged with addressing regional specific big data challenges. Areas of emphasis for the South BD hub include coastal hazards, industrial big data, and health analytics, among others. As one of its CCC-sponsored activities, the South BD Hub ran the DataStart internship program, which paired graduate students from the South Regional Innovation Hub with data-related startup companies for three months. The […]

This blog post was co-authored by CCC Staff and Greg Hager, Computing Community Consortium (CCC) Past Chair and Professor in the Department of Computer Science at Johns Hopkins University, with contributions from Beth Mynatt, CCC Chair, Professor and Director of Georgia Tech’s Institute for People and Technology.  The Office of Science Technology Policy (OSTP) has just released a new report, “Preparing for the Future of Artificial Intelligence.” In it, they examine the current state of Artificial Intelligence (AI) from both the society and public policy perspective and make 23 policy recommendations. The topics address by the report include: Applications of AI for Public Good AI and Regulation Research and Workforce Economic Impacts of AI Fairness, Safety, and […]